Seismic reliability analysis of high-pier railway bridges with correlated random parameters via an improved maximum entropy method

被引:12
作者
Chen, Zhi-Qiang [1 ]
Zheng, Shi-Xiong [1 ]
Zhang, Jin [2 ]
Jia, Hongyu [1 ]
机构
[1] Southwest Jiaotong Univ, Sch Civil Engn, Chengdu 610031, Peoples R China
[2] Chengdu Univ Technol, Coll Environm & Civil Engn, Chengdu 610059, Peoples R China
基金
中国国家自然科学基金;
关键词
Seismic reliability; Variable correlation; Maximum entropy method; Extreme value distribution; Stochastic seismic response; EQUIVALENT LINEARIZATION; RESPONSE ANALYSIS; DYNAMIC-SYSTEMS; LONG-SPAN; SIMULATION; PERFORMANCE;
D O I
10.1016/j.istruc.2021.07.039
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Seismic reliability analysis is crucially important for the seismic performance evaluation and probabilistic seismic risk assessment of bridges. However, the exact and efficient computation of seismic reliability for a practical bridge with uncertainty is still challenging. This study presents a composite method of maximum entropy principle with fractional moments, partially stratified sampling, and Nataf transformation for the seismic reliability analysis of bridge with correlated random parameters, and then evaluates the impact of random variable correlation on the probabilistic seismic performance of high-pier continues rigid frame bridge (CRFB). Different from the existing maximum entropy method, a unbiased likelihood function-based maximum entropy method is proposed to compute the extreme value distribution (EVD) of structural nonlinear seismic response. To illustrate the efficiency and accuracy of the proposed method, a hysteretic nonlinear single-degree-of-freedom (SDOF) system and a simplified two-span bridge are first taken as examples. The obtained EVD is compared with the results of Monte Carlo simulation, current maximum entropy method, and widely used probability distribution model fitting. The proposed method is then applied to evaluate the seismic reliability of a practical high-pier CRFB. The influence of uncertainties and variable correlation of structural parameters on the seismic reliability of high-pier CRFB is discussed in detail. The analysis results indicate the high efficiency and accuracy of the proposed method and demonstrate the significant importance of structural parameter correlation on the probabilistic seismic performance assessment of high-pier CRFB.
引用
收藏
页码:4538 / 4555
页数:18
相关论文
共 59 条
[1]  
Akaike H., 1973, 2 INT S INFORM THEOR, P267, DOI 10.1007/978-1-4612-1694-0_15
[2]  
[Anonymous], 2013, 23312013 TBT MIN RAI
[3]  
[Anonymous], 2000, ADV TECHNOLOGY STRUC
[4]   Estimation of small failure probabilities in high dimensions by subset simulation [J].
Au, SK ;
Beck, JL .
PROBABILISTIC ENGINEERING MECHANICS, 2001, 16 (04) :263-277
[5]   Modelling and simulation of spatially varying earthquake ground motions at sites with varying conditions [J].
Bi, Kaiming ;
Hao, Hong .
PROBABILISTIC ENGINEERING MECHANICS, 2012, 29 :92-104
[6]   A method for generating fully non-stationary and spectrum-compatible ground motion vector processes [J].
Cacciola, Pierfrancesco ;
Deodatis, George .
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2011, 31 (03) :351-360
[7]   Seismic reliability-based design of hardening and softening structures isolated by double concave sliding devices [J].
Castaldo, P. ;
Alfano, G. .
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2020, 129 (129)
[8]  
[陈建兵 Chen Jianbing], 2014, [工程力学, Engineering Mechanics], V31, P1
[9]   Efficient seismic reliability analysis of non-linear structures under non-stationary ground motions [J].
Chen, Zhi-Qiang ;
Zheng, Shi-Xiong ;
Zhang, Jin ;
Dang, Chao ;
Wei, Kai ;
Li, Xi .
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2020, 139
[10]   Extreme value distribution and dynamic reliability estimation of high-pier bridges subjected to near-fault impulsive ground motions [J].
Chen, Zhi-Qiang ;
Zheng, Shi-Xiong ;
Zhou, Qiang ;
Chen, Zhi-Wei ;
Li, Xi .
ADVANCES IN STRUCTURAL ENGINEERING, 2020, 23 (07) :1367-1382